EpmQueryAggregateFunction

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EpmQueryAggregateFunction

Returns data from one or more variables, comma-separated, informed in the @node parameter, according to the format defined by the aggregation function indicated by the @aggregateFunction parameter.

 

Syntax

SELECT Name, Timestamp, Quality, Value FROM EpmQueryAggregateFunction(@timeZoneOffset, @startTime, @endTime, @sampleInterval, @aggregateFunction, @node)

 

Parameters

@timeZoneOffset: Timezone to consider. Possible values range between -12 and 14

@startTime: Initial date of the period to query. Users must use a String in the format yyyy-MM-dd HH:mm:ss

@endTime: Final date of the period to query. Users must use a String in the format yyyy-MM-dd HH:mm:ss

@sampleInterval: Time interval used to calculate aggregation, in milliseconds

@aggregateFunction: Name of the aggregation function to use. Possible values for this parameter are described on the next table

@node: Variable or variables to query. Users must inform the full name or names between single quotes and comma-separated

 

Possible values for the @aggregateFunction parameter

Value

Description

AnnotationCount

Informs how many annotations a variable has inside the sampling interval

Average

Calculates the average of data values with good quality inside the sampling interval defined in the @sampleInterval parameter

Count

Returns the number of data present in the sampling interval defined in the @sampleInterval parameter

Delta

Returns the difference between the first and last values with good quality inside each sampling interval

DeltaBounds

Returns the difference between the first and last values with good quality inside each sampling interval. It considers the Simple Bounding Values

DurationBad

Returns the time, in milliseconds, in which data had bad quality inside the sampling interval. Quality is defined based on the quality of data from interval's edges

DurationGood

Returns the time, in milliseconds, in which data had good quality inside the sampling interval. Quality is defined based on the quality of data from interval's edges

DurationInStateNonZero

Returns the total time, in milliseconds, in which a value remained different from 0 (zero) inside the sampling interval

DurationInStateZero

Returns the total time, in milliseconds, in which a value remained in 0 (zero) inside the sampling interval

End

Equivalent to the Interpolative function, but uses the original timestamp from the last value of the sampling interval

EndBounds

Equivalent to the Interpolative function, but uses the original timestamp from the last value of the sampling interval. It considers the Simple Bounding Values

Interpolative

Interpolates data from the queried interval, returning points according to the interval defined in the @sampleInterval parameter

Maximum

Informs the greatest value found on data inside the sampling interval defined in the @sampleInterval parameter. The timestamp corresponds to the starting time of each sampling interval

Maximum2

Informs the greatest value found on data inside the sampling interval defined in the @sampleInterval parameter. The timestamp corresponds to the starting time of each sampling interval. It considers the Simple Bounding Values

MaximumActualTime

Informs the greatest value found on data inside the sampling interval defined in the @sampleInterval parameter, except that the timestamp corresponds to the moment the greatest value found occurred

MaximumActualTime2

Informs the greatest value found on data inside the sampling interval defined in the @sampleInterval parameter, except that the timestamp corresponds to the moment the greatest value found occurred. It considers the Simple Bounding Values

Minimum

Informs the smallest value found on data inside the sampling interval defined in the @sampleInterval parameter. The timestamp corresponds to the starting time of each sampling interval

Minimum2

Informs the smallest value found on data inside the sampling interval defined in the @sampleInterval parameter. The timestamp corresponds to the starting time of each sampling interval. It considers the Simple Bounding Values

MinimumActualTime

Informs the smallest value found on data inside the sampling interval defined in the @sampleInterval parameter, except that the timestamp corresponds to the moment the smallest value found occurred

MinimumActualTime2

Informs the smallest value found on data inside the sampling interval defined in the @sampleInterval parameter, except that the timestamp corresponds to the moment the smallest value found occurred. It considers the Simple Bounding Values

NumberOfTransitions

Informs how many transitions occurred inside the sampling interval between values 0 (zero) and 1 (one)

PercentBad

Returns a percentage of time, relative to the time of the sampling interval, in which data had bad quality

PercentGood

Returns a percentage of time, relative to the time of the sampling interval, in which data had good quality

PercentInStateNonZero

Returns a percentage of time, relative to the time of the sampling interval, in which the value remained different from 0 (zero)

PercentInStateZero

Returns a percentage of time, relative to the time of the sampling interval, in which the value remained in 0 (zero)

Range

Returns the difference between the smallest and the greatest value found inside the sampling interval informed in the @sampleInterval parameter. Ignores bad quality values

Range2

Returns the difference between the smallest and the greatest value found inside the sampling interval informed in the @sampleInterval parameter. Ignores bad quality values and considers the Simple Bounding Values

StandardDeviationPopulation

Returns the population standard deviation (n) in the requested interval. It includes the Simple Bounding Values

StandardDeviationSample

Returns the sampling standard deviation (n - 1) in the requested interval

Start

Equivalent to the Interpolative function, but uses the original timestamp from the first value of the sampling interval

StartBounds

Equivalent to the Interpolative function, but uses the original timestamp from the first value of the sampling interval. It considers the Simple Bounding Values

TimeAverage

Calculates the weighted average by time using the Interpolated Bounding Values method inside the sampling interval defined in the @sampleInterval parameter

TimeAverage2

Calculates the weighted average by time using the Simple Bounding Values method inside the sampling interval defined in the @sampleInterval parameter

Total

Returns the sum of data from the sampling interval defined in the @sampleInterval parameter

Total2

Returns the sum of data with good quality from the sampling interval defined in the @sampleInterval parameter

Trend

Interpolates queried data for a better visualization on charts

VariancePopulation

Returns the variance for the StandardDeviationPopulation function

VarianceSample

Returns the variance for the StandardDeviationSample function

WorstQuality

Returns the worst quality found in the interval specified in the @sampleInterval parameter

WorstQuality2

Returns the worst quality found in the interval specified in the @sampleInterval parameter. It considers the Simple Bounding Values

 

Resulting Fields

Name: Name of the variable or variables queried

Timestamp: Timestamp of data

Quality: Quality of data

Value: Value of data

 

Usage Example

To return data from variable RandomTags_Random1 in the period between 10:23 and 11:23 on 12/07/2020, with a timezone of -3 (minus three) hours and interpolated at every 5 (five) minutes, use the next declaration.

SELECT Name, Timestamp, Quality, Value FROM EpmQueryAggregateFunction(-3, '2020-12-07 10:23:00', '2020-12-07 11:23:00', 300000, 'Interpolative', 'RandomTags1')

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